Supercritical/dense-phase CO2 pipeline leakage diffusion experiment and hazard distance prediction method
The study of the diffusion characteristics of CO2 leakage in pipelines and the determination of the hazardous distance resulting from such leakage under various working conditions are crucial for identifying the high-consequence zone of industrial CO2 pipelines and analyzing the consequences of acci...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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KeAi Communications Co. Ltd.
2025-06-01
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| Series: | Journal of Pipeline Science and Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667143324000751 |
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| author | Yifei Wang Qihui Hu Xuefeng Zhao Buze Yin Lan Meng Xin Ouyang Siqi Cong Chaofei Nie Yaqi Guo Yuxing Li |
| author_facet | Yifei Wang Qihui Hu Xuefeng Zhao Buze Yin Lan Meng Xin Ouyang Siqi Cong Chaofei Nie Yaqi Guo Yuxing Li |
| author_sort | Yifei Wang |
| collection | DOAJ |
| description | The study of the diffusion characteristics of CO2 leakage in pipelines and the determination of the hazardous distance resulting from such leakage under various working conditions are crucial for identifying the high-consequence zone of industrial CO2 pipelines and analyzing the consequences of accidents. Currently, there is yet to be a unified conclusion on the delineation and calculation method of hazard distance. This paper has formulated hazard distance calculation and forecasting methods by combining test verification and model calculation. First, a full-scale pipe burst leakage experiment was carried out based on a self-designed and built CO2 pipe leakage device, the CO2 concentration data was measured, and the CO2 diffusion characteristics were analyzed. Then, the experimental measurement values were compared with the calculation results of the CO2 concentration calculation model to verify the reliability of the model. Furthermore, a hazard distance calculation model was introduced, which utilized bilinear interpolation and took into account time-weighted allowable concentrations. This model accurately determined the hazard distances caused by leaks at 11 specific locations along the pipeline. It was found that the location of the leak point can lead to significant differences in the classification of the hazard distance, so the development of a hazard distance prediction model is necessary. Eventually, a hazard distance prediction model was established based on the PSO-BP neural network. Six variables were selected as input parameters: CO2 temperature, pressure, density, position, and distance from the distance valve chamber. The hazard distance caused by a leak at 125 locations along the pipeline was predicted. The results showed that an increase in the transport distance or a location away from the valve chamber would lead to an increase in the hazard distance. At the same time, a CO2 leak in the supercritical state will not generate a hazard distance. |
| format | Article |
| id | doaj-art-b85fd8ef7f7846509fca070bb5a81b9f |
| institution | Kabale University |
| issn | 2667-1433 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | KeAi Communications Co. Ltd. |
| record_format | Article |
| series | Journal of Pipeline Science and Engineering |
| spelling | doaj-art-b85fd8ef7f7846509fca070bb5a81b9f2025-08-20T03:35:47ZengKeAi Communications Co. Ltd.Journal of Pipeline Science and Engineering2667-14332025-06-015210024810.1016/j.jpse.2024.100248Supercritical/dense-phase CO2 pipeline leakage diffusion experiment and hazard distance prediction methodYifei Wang0Qihui Hu1Xuefeng Zhao2Buze Yin3Lan Meng4Xin Ouyang5Siqi Cong6Chaofei Nie7Yaqi Guo8Yuxing Li9Shandong Key Laboratory of Oil & Gas Storage and Transportation Safety, China University of Petroleum (East China), Qingdao, Shandong 266580, PR ChinaShandong Key Laboratory of Oil & Gas Storage and Transportation Safety, China University of Petroleum (East China), Qingdao, Shandong 266580, PR ChinaDaqing Oilfield Design Institute Co., Ltd, Daqing, Heilongjiang 163453, PR ChinaShandong Key Laboratory of Oil & Gas Storage and Transportation Safety, China University of Petroleum (East China), Qingdao, Shandong 266580, PR ChinaDaqing Oilfield Design Institute Co., Ltd, Daqing, Heilongjiang 163453, PR ChinaPipeChina Institute of Science and Technology, Tianjin 300450, PR ChinaDaqing Oilfield Design Institute Co., Ltd, Daqing, Heilongjiang 163453, PR ChinaPipeChina Institute of Science and Technology, Tianjin 300450, PR ChinaShandong Key Laboratory of Oil & Gas Storage and Transportation Safety, China University of Petroleum (East China), Qingdao, Shandong 266580, PR ChinaShandong Key Laboratory of Oil & Gas Storage and Transportation Safety, China University of Petroleum (East China), Qingdao, Shandong 266580, PR China; Corresponding author.The study of the diffusion characteristics of CO2 leakage in pipelines and the determination of the hazardous distance resulting from such leakage under various working conditions are crucial for identifying the high-consequence zone of industrial CO2 pipelines and analyzing the consequences of accidents. Currently, there is yet to be a unified conclusion on the delineation and calculation method of hazard distance. This paper has formulated hazard distance calculation and forecasting methods by combining test verification and model calculation. First, a full-scale pipe burst leakage experiment was carried out based on a self-designed and built CO2 pipe leakage device, the CO2 concentration data was measured, and the CO2 diffusion characteristics were analyzed. Then, the experimental measurement values were compared with the calculation results of the CO2 concentration calculation model to verify the reliability of the model. Furthermore, a hazard distance calculation model was introduced, which utilized bilinear interpolation and took into account time-weighted allowable concentrations. This model accurately determined the hazard distances caused by leaks at 11 specific locations along the pipeline. It was found that the location of the leak point can lead to significant differences in the classification of the hazard distance, so the development of a hazard distance prediction model is necessary. Eventually, a hazard distance prediction model was established based on the PSO-BP neural network. Six variables were selected as input parameters: CO2 temperature, pressure, density, position, and distance from the distance valve chamber. The hazard distance caused by a leak at 125 locations along the pipeline was predicted. The results showed that an increase in the transport distance or a location away from the valve chamber would lead to an increase in the hazard distance. At the same time, a CO2 leak in the supercritical state will not generate a hazard distance.http://www.sciencedirect.com/science/article/pii/S2667143324000751Leakage experimentCO2 concentration diffusion characteristicsCO2 concentration calculation modelHazard distance calculation modelHazard distance prediction model |
| spellingShingle | Yifei Wang Qihui Hu Xuefeng Zhao Buze Yin Lan Meng Xin Ouyang Siqi Cong Chaofei Nie Yaqi Guo Yuxing Li Supercritical/dense-phase CO2 pipeline leakage diffusion experiment and hazard distance prediction method Journal of Pipeline Science and Engineering Leakage experiment CO2 concentration diffusion characteristics CO2 concentration calculation model Hazard distance calculation model Hazard distance prediction model |
| title | Supercritical/dense-phase CO2 pipeline leakage diffusion experiment and hazard distance prediction method |
| title_full | Supercritical/dense-phase CO2 pipeline leakage diffusion experiment and hazard distance prediction method |
| title_fullStr | Supercritical/dense-phase CO2 pipeline leakage diffusion experiment and hazard distance prediction method |
| title_full_unstemmed | Supercritical/dense-phase CO2 pipeline leakage diffusion experiment and hazard distance prediction method |
| title_short | Supercritical/dense-phase CO2 pipeline leakage diffusion experiment and hazard distance prediction method |
| title_sort | supercritical dense phase co2 pipeline leakage diffusion experiment and hazard distance prediction method |
| topic | Leakage experiment CO2 concentration diffusion characteristics CO2 concentration calculation model Hazard distance calculation model Hazard distance prediction model |
| url | http://www.sciencedirect.com/science/article/pii/S2667143324000751 |
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